Triple

T11236202
Position Surface form Disambiguated ID Type / Status
Subject Clouds of Sils Maria E265946 entity
Predicate distributor P1951 FINISHED
Object IFC Films E242675 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: IFC Films | Statement: [Clouds of Sils Maria, distributor, IFC Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IFC Films
Context triple: [Clouds of Sils Maria, distributor, IFC Films]
  • A. IFC Films chosen
    IFC Films is an American film distribution company known for releasing independent, foreign, and art-house movies in theaters and on video-on-demand platforms.
  • B. IAC Films
    IAC Films is an American film and television production company known for backing a range of acclaimed independent and auteur-driven projects.
  • C. Katalyst Films
    Katalyst Films is a production company co-founded by Ashton Kutcher, best known for creating and producing popular prank and reality television shows and digital media content.
  • D. Echo Films
    Echo Films is a film and television production company co-founded by Jennifer Aniston, known for producing character-driven projects including the series "The Morning Show."
  • E. Vistar Films
    Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6308f8819085652d6c529ac821 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.